Deep CNN + COTS

Parameters

5M

Published

Jul 26, 2015

Deep CNN + COTS is an AI model developed by IEEE, first published in July 2015. It works in the vision domain, on tasks such as face recognition.

Epoch AI has no training-compute estimate for this model. The model has 5,006,000 parameters. It was trained on roughly 494.4K datapoints. Training ran on 1 NVIDIA Tesla K40c.

Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as confident.

Full record

Organization: IEEE
Domain: Vision
Task: Face recognition
Parameters: 5,006,000
Dataset size: 494.4K
Training hardware: NVIDIA Tesla K40c
Chips used: 1
Training power draw: 286 W
Model accessibility: Unreleased
Open weights: No
Epoch confidence: Confident